Impetus Technologies to Lead Four Thought Leadership Sessions at Hadoop Summit

LOS GATOS, Calif., June 21, 2016 -- Impetus Technologies, a big data software products and services company, today announced it will be a platinum-level sponsor at the 2016 Hadoop Summit, a leading conference for the Apache Hadoop community. Taking place from June 28-30 in San Jose, California, Impetus Technologies will be exhibiting and leading a number of sessions on a range of advanced big data analytics thought leadership topics.

"As an early adopter of Apache Hadoop, Impetus Technologies has been a long time Hortonworks partner. This partnership provides our joint HDP and HDF customers with complementary full lifecycle system integration services and Hortonworks certified software solutions," said Scott Gnau, chief technology officer, Hortonworks. "Their solutions reduce the effort involved in data warehouse migration to HDP and in the implementation of real-time streaming data analytics when using HDF in conjunction with their offering, StreamAnalytix. We are delighted to have them as a platinum sponsor at this year's Hadoop Summit in San Jose."

Impetus Technologies' big data experts will lead four thought leadership discussions. Topics range from automated migration of workloads from enterprise warehouses to Hadoop, accelerating data warehouse migration to Hadoop through to data lake-driven big data warehouse platforms, hybrid cloud-based data platforms, and streaming analytics app development and tips for modernizing all aspects of data warehousing on Hadoop, including the application of OLAP at massive scale on Hadoop.

Session Details: This session will discuss how organizations are increasingly seeking alternatives to traditional enterprise data warehouses (EDW), and as a result, are considering a move to Hadoop for its cost-effective and scalable framework for storing and processing big data. Attendees will learn the best practices for assessing what can be migrated, performing an impact/ROI analysis, and developing plans for data migration, offloading ETL, managing security and building a consumable data layer for business users. It will also evaluate results obtained by enterprises that have embarked on this journey, including an assessment of operational benefits, acceptance by end users and reduction in time to market.

Session Details: This talk will address how the capability of churning data in real-time is critical for the success of industries such as manufacturing, logistics, financial services, retail and communications. To do this, enterprises are considering moving to solutions such as Hadoop for Hybrid Cloud, which offers benefits such as control, flexibility, elasticity, and reducing redundancy as well as access to a range of analytics cloud services. The presentation will focus on how to build a cloud-based hybrid platform on Hadoop, as well as offer insights on establishing a secure network gateway on the platform, certifying environments on any applicable regulatory and compliance needs and building distributed data architecture with intelligence layers to transfer data between on premise and cloud environments.

Session Details: This talk will focus on how companies are moving towards an IoT and fast-data dominated enterprise landscape, where developers will create, test and deploy raw stream-processing functionality initially from scratch. However, as demand grows for these applications and use cases are quickly created and deployed, the pressure will increase for shorter time lines. The speakers will demonstrate approaches enabling developers to create and connect a wide variety of Lego-like blocks of stream processing pipelines, such as data filtering blocks, ETL logic blocks, data cleaning blocks and many others.

Session Details: This discussion will cover the explosion in the volume of structured and unstructured data sources and how the requirements for scalability to store this massive amount of data in the current data warehouse environment is causing costs to spiral out of control. Attendees will also hear about successful customer engagements, and gain knowledge on automated "lift and drop" strategies for migration of workloads from enterprise warehouses to data lake-driven big data warehouse platforms.

Impetus Technologies will be exhibiting at booth number 1105, where it will demonstrate StreamAnalytix™ – a leading platform for accelerating the development of real-time streaming analytics applications with support for Apache Spark Streaming. The company will also feature the capabilities of its recently announced data warehouse transformation practice.

To book a meeting with Impetus Technologies to further explore how it can help in these and other areas of big data, visit: http://www.impetus.com/events. Members of the media and analyst communities interested in meeting with the company at the summit should contact impetus@teamlewis.com.

About Impetus Technologies

Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation and on-going support to its clients. To learn more, visit: www.impetus.com or write to: bigdata@impetus.com, and follow us on Twitter and LinkedIn.